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Population balance (PB) models have become the most widely used tool for dynamic modeling of particulate processes.
This contribution is concerned with control of systems of population balances, which are frequently used for modeling of particulate processes like granulation or crystallization.
However recent advances in the modeling of particulate processes and the optimization of complex process models have created opportunities to apply PSE methods to pharmaceutical manufacturing processes.
A Monte Carlo (MC) method using bookkeeping strategy for population balance modeling of particulate processes has been designed in this article.
Successful computational fluid dynamics simulations of poly-disperse flows must include modeling of particulate processes, i.e., nucleation, growth, agglomeration, and breakage.
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Three-compartment representation is applied in the modelling of particulate coating in a fluidized-bed granulator.
In this paper we investigate the capability of a drift-flux model of particulate matter deposition to describe this mechanism.
Numerical modelling of particulate composites is one of such ideal engineering applications where particle based methods can be effectively used due to their simplicity and robustness.
Previous work in the mathematical modelling of particulate (or heterogeneous) reactors has used either the segregated model or the number balance.
Despite Pisum sativum being used by Gregor Mendel to propose a model of particulate inheritance and being a highly nutritious food source for populations worldwide, few genomic resources exist for pea.
Our findings by using specific blocking indicate that activins are not directly linked to disease progression or fibrosis generation but show a clear reduction in the alveolar response to injury in two mouse models of particulate exposure.
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